Binxuan Huang

Principal Scientist at Amazon | Ph.D. in Computer Science

I am a Principal Scientist at Amazon, working on large language model pretraining for Amazon Rufus shopping assistant. Prior to joining Amazon, I received my Ph.D. in Computer Science at Carnegie Mellon University, advised by Prof. Kathleen M. Carley. My doctoral work focused on social network analysis and data mining.

Recent Publications

DocTalk: Scalable Graph-based Dialogue Synthesis for Enhancing LLM Conversational Capabilities
Jing Yang Lee, Hamed Bonab, Nasser Zalmout, Ming Zeng, Sanket Lokegaonkar, Colin Lockard, Binxuan Huang, Ritesh Sarkhel, Haodong Wang
SIGDIAL, 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training
Yuchen Zhuang, Jingfeng Yang, Haoming Jiang, Xin Liu, Kewei Cheng, Sanket Lokegaonkar, Yifan Gao, Qing Ping, Tianyi Liu, Binxuan Huang, Zheng Li, Zhengyang Wang, Pei Chen, Ruijie Wang, Rongzhi Zhang, Nasser Zalmout, Priyanka Nigam, Bing Yin, Chao Zhang
NAACL, 2025
Scaling laws for predicting downstream performance in LLMs
Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji
TMLR 2024
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
Zijie Huang, Daheng Wang, Binxuan Huang, Chenwei Zhang, Jingbo Shang, Yan Liang, Zhengyang Wang, Xian Li, Christos Faloutsos, Yizhou Sun, Wei Wang
ACL 2023
Tab-cleaner: Weakly supervised tabular data cleaning via pre-training for E-commerce catalog
Cheng, Kewei; Li, Xian; Wang, Zhengyang; Zhang, Chenwei; Huang, Binxuan; Xu, Yifan Ethan; Dong, Xin Luna; Sun, Yizhou
ACL 2023

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Binxuan Huang

Education

Work Experience

Recent Publications